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Stan Math Library
5.1.0
Automatic Differentiation
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#include <stan/math/prim/core.hpp>#include <stan/math/prim/meta.hpp>#include <stan/math/prim/err/hmm_check.hpp>#include <stan/math/prim/fun/Eigen.hpp>#include <boost/random.hpp>#include <vector>Go to the source code of this file.
Namespaces | |
| namespace | stan |
| The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation from C or the boost::math::lgamma implementation. | |
| namespace | stan::math |
| Matrices and templated mathematical functions. | |
Functions | |
| template<typename T_omega , typename T_Gamma , typename T_rho , class RNG , require_all_eigen_t< T_omega, T_Gamma > * = nullptr, require_eigen_col_vector_t< T_rho > * = nullptr> | |
| std::vector< int > | stan::math::hmm_latent_rng (const T_omega &log_omegas, const T_Gamma &Gamma, const T_rho &rho, RNG &rng) |
| For a hidden Markov model with observation y, hidden state x, and parameters theta, generate samples from the posterior distribution of the hidden states, x. | |